Gonzalo Carrero

At Kristianstad University, I designed and built an LLM-driven agentic framework that generates constraint-aware CRISPR genetic-modification designs for barley. I used Python, agent orchestration, and structured prompt design, with automated validation to keep outputs within biological rules. I benchmarked the system across repeated runs, reaching a stable composite score of 0.924 and a 100% pass rate over 10 runs. I also documented the results, reproducibility protocol, and limitations, and defended my thesis under academic supervision. My background combines business analytics with full-stack development. I use SQL, Python, R, Tableau, and Excel for data analysis and visualisation, and I’m growing toward AI and systems roles through applied AI, automation pipelines, and AI agents built with LangChain and n8n.